Mutual Information-Assisted Wavelet Function Selection for Enhanced Rolling Bearing Fault Diagnosis
This paper presents an enhanced rolling bearing fault diagnosis approach, based on optimized wavelet packet transform (WPT) assisted with quantitative wavelet function selection. Mutual information is utilized as a quantitative measure to select the most suitable wavelet function for the WPT-based v...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2015/794921 |
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| _version_ | 1832555919601303552 |
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| author | Ruqiang Yan Mengxiao Shan Jianwei Cui Yahui Wu |
| author_facet | Ruqiang Yan Mengxiao Shan Jianwei Cui Yahui Wu |
| author_sort | Ruqiang Yan |
| collection | DOAJ |
| description | This paper presents an enhanced rolling bearing fault diagnosis approach, based on optimized wavelet packet transform (WPT) assisted with quantitative wavelet function selection. Mutual information is utilized as a quantitative measure to select the most suitable wavelet function for the WPT-based vibration analysis. Energy features from coefficients of an optimal set of orthogonal wavelet subspaces which resulted from the WPT-based vibration analysis are input to different classifiers. The fault states of the rolling bearings can then be identified. Experiment studies conducted on a rolling bearing test system have verified the effectiveness of the proposed approach for rolling bearing fault diagnosis. |
| format | Article |
| id | doaj-art-55eca905cf1a4aa5856d8be48482793a |
| institution | Kabale University |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-55eca905cf1a4aa5856d8be48482793a2025-02-03T05:46:46ZengWileyShock and Vibration1070-96221875-92032015-01-01201510.1155/2015/794921794921Mutual Information-Assisted Wavelet Function Selection for Enhanced Rolling Bearing Fault DiagnosisRuqiang Yan0Mengxiao Shan1Jianwei Cui2Yahui Wu3School of Instrument Science and Engineering, Southeast University, Nanjing, Jiangsu 210096, ChinaSchool of Instrument Science and Engineering, Southeast University, Nanjing, Jiangsu 210096, ChinaSchool of Instrument Science and Engineering, Southeast University, Nanjing, Jiangsu 210096, ChinaChangcheng Institute of Metrology and Measurement, Aviation Industry Corporation of China, Key Laboratory of Science and Technology on Metrology & Calibration, Beijing 100095, ChinaThis paper presents an enhanced rolling bearing fault diagnosis approach, based on optimized wavelet packet transform (WPT) assisted with quantitative wavelet function selection. Mutual information is utilized as a quantitative measure to select the most suitable wavelet function for the WPT-based vibration analysis. Energy features from coefficients of an optimal set of orthogonal wavelet subspaces which resulted from the WPT-based vibration analysis are input to different classifiers. The fault states of the rolling bearings can then be identified. Experiment studies conducted on a rolling bearing test system have verified the effectiveness of the proposed approach for rolling bearing fault diagnosis.http://dx.doi.org/10.1155/2015/794921 |
| spellingShingle | Ruqiang Yan Mengxiao Shan Jianwei Cui Yahui Wu Mutual Information-Assisted Wavelet Function Selection for Enhanced Rolling Bearing Fault Diagnosis Shock and Vibration |
| title | Mutual Information-Assisted Wavelet Function Selection for Enhanced Rolling Bearing Fault Diagnosis |
| title_full | Mutual Information-Assisted Wavelet Function Selection for Enhanced Rolling Bearing Fault Diagnosis |
| title_fullStr | Mutual Information-Assisted Wavelet Function Selection for Enhanced Rolling Bearing Fault Diagnosis |
| title_full_unstemmed | Mutual Information-Assisted Wavelet Function Selection for Enhanced Rolling Bearing Fault Diagnosis |
| title_short | Mutual Information-Assisted Wavelet Function Selection for Enhanced Rolling Bearing Fault Diagnosis |
| title_sort | mutual information assisted wavelet function selection for enhanced rolling bearing fault diagnosis |
| url | http://dx.doi.org/10.1155/2015/794921 |
| work_keys_str_mv | AT ruqiangyan mutualinformationassistedwaveletfunctionselectionforenhancedrollingbearingfaultdiagnosis AT mengxiaoshan mutualinformationassistedwaveletfunctionselectionforenhancedrollingbearingfaultdiagnosis AT jianweicui mutualinformationassistedwaveletfunctionselectionforenhancedrollingbearingfaultdiagnosis AT yahuiwu mutualinformationassistedwaveletfunctionselectionforenhancedrollingbearingfaultdiagnosis |